Job Opportunities

Python Developer (Core Python + AI Experience)

Python Developer (Core Python + AI Experience)
Job Summary

We are seeking an experienced Python Developer with strong expertise in Core Python and hands-on experience in Artificial Intelligence (AI) technologies. The ideal candidate will work on backend development, automation, AI model integration, and data-driven solutions. You will collaborate with cross-functional teams to build scalable, intelligent applications.

Key Responsibilities

Develop, optimize, and maintain applications using Core Python.
Design and integrate AI/ML models into applications.
Work with machine learning pipelines, model inference, and data processing workflows.
Build and manage RESTful APIs and backend logic for AI-enabled applications.
Write clean, reusable, and efficient code following industry best practices.
Develop automation scripts and AI-based solutions for business problems.
Debug, troubleshoot, and enhance existing AI and Python applications.
Collaborate with product managers, data scientists, and engineers to deliver intelligent features.
Document technical designs, AI workflows, and code modules.

Required Skills & Qualifications

3–6 years of experience as a Python Developer (Core Python is mandatory).
Hands-on experience in AI / Machine Learning, including model development or integration.
Strong understanding of Python fundamentals:
Data structures, OOP, multithreading, decorators, generators
Exception handling and module development

Experience with AI/ML libraries such as:

TensorFlow / PyTorch / Scikit-learn / Keras (any one or more)
Experience with NLP, computer vision, or predictive analytics is an added advantage.
Experience in building and consuming REST APIs.
Strong knowledge of databases (MySQL/PostgreSQL/SQLite).
Familiarity with Git, version control, and CI/CD workflows.
Strong debugging, analytical, and problem-solving skills.

Good to Have

Experience with Large Language Model (LLM) integration (OpenAI, Hugging Face, etc.).
Knowledge of Docker and containerized deployments.
Exposure to cloud services (AWS, Azure, or GCP) for AI model hosting.
Understanding of data engineering concepts.

Education

Bachelor’s degree in Computer Science, Engineering, AI/ML, Data Science, or related field preferred.